P. Flourens, Expériences sur le système nerveux par P. Flourens, faisant suite aux 'Recherches expérimentales sur les propriétés et les fonctions du système nerveux dans les animaux vertébrés' du même auteur, 1825.

B. J. Anderson, Glial hypertrophy is associated with synaptogenesis following motor-skill learning, but not with angiogenesis following exercise, Glia, vol.11, pp.73-80, 1994.

J. E. Black, K. R. Isaacs, B. J. Anderson, A. A. Alcantara, and W. T. Greenough, Learning causes synaptogenesis, whereas motor activity causes angiogenesis, in cerebellar cortex of adult rats, Proc. Natl. Acad. Sci. USA, vol.87, pp.5568-5572, 1990.

J. A. Kleim, Learning-dependent dendritic hypertrophy of cerebellar stellate cells: plasticity of local circuit neurons, Neurobiol. Learn. Mem, vol.67, pp.29-33, 1997.

H. Imamizu, Human cerebellar activity reflecting an acquired internal model of a new tool, Nature, vol.403, pp.192-195, 2000.

C. Hansel, D. J. Linden, and E. Angelo, Beyond parallel fiber LTD: the diversity of synaptic and non-synaptic plasticity in the cerebellum, Nat. Neurosci, vol.4, pp.467-475, 2001.

N. H. Bhanpuri, A. M. Okamura, and A. J. Bastian, Predictive modeling by the cerebellum improves proprioception, J. Neurosci. Off. J. Soc. Neurosci, vol.33, pp.14301-14306, 2013.

T. Popa, Cerebellar processing of sensory inputs primes motor cortex plasticity, Cereb. Cortex N. Y. N, issue.23, pp.305-314, 1991.

Y. Sagi, Learning in the fast lane: new insights into neuroplasticity, Neuron, vol.73, pp.1195-1203, 2012.

M. Taubert, Dynamic properties of human brain structure: learning-related changes in cortical areas and associated fiber connections, J. Neurosci. Off. J. Soc. Neurosci, vol.30, pp.11670-11677, 2010.

D. K. Jones, T. R. Knösche, and R. Turner, White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI, NeuroImage, vol.73, pp.239-254, 2013.

D. Drijkoningen, Training-induced improvements in postural control are accompanied by alterations in cerebellar white matter in brain injured patients, NeuroImage Clin, vol.7, pp.240-251, 2015.

R. Lalonde and M. I. Botez, The cerebellum and learning processes in animals, Brain Res. Brain Res. Rev, vol.15, pp.325-332, 1990.

R. M. Kelly and P. L. Strick, Cerebellar loops with motor cortex and prefrontal cortex of a nonhuman primate, J. Neurosci. Off. J. Soc. Neurosci, vol.23, pp.8432-8444, 2003.

C. Habas, Distinct cerebellar contributions to intrinsic connectivity networks, J. Neurosci. Off. J. Soc. Neurosci, vol.29, pp.8586-8594, 2009.

F. M. Krienen and R. L. Buckner, Segregated fronto-cerebellar circuits revealed by intrinsic functional connectivity, Cereb. Cortex N. Y. N, pp.2485-2497, 1991.

J. X. O'reilly, C. F. Beckmann, V. Tomassini, N. Ramnani, and H. Johansen-berg, Distinct and overlapping functional zones in the cerebellum defined by resting state functional connectivity, Cereb. Cortex N. Y. N, issue.20, pp.953-965, 1991.

M. Ito, The Cerebellum: Brain for an Implicit Self, 2011.

D. L. Rue, S. E. Draper, S. B. Potter, and C. R. Smith, Energy expenditure in rock/pop drumming, Int. J. Sports Med, vol.34, pp.868-872, 2013.

A. Amad, Motor Learning Induces Plasticity in the Resting Brain-Drumming Up a Connection, Cereb. Cortex, vol.27, pp.2010-2021, 2017.

T. P. Naidich, Duvernoy's Atlas of the Human Brain Stem and Cerebellum: High-Field MRI, Surface Anatomy, Internal Structure, Vascularization and 3 D Sectional Anatomy, 2009.

J. Diedrichsen, J. H. Balsters, J. Flavell, E. Cussans, and N. Ramnani, A probabilistic MR atlas of the human cerebellum, NeuroImage, vol.46, pp.39-46, 2009.

E. R. Sowell, D. A. Trauner, A. Gamst, and T. L. Jernigan, Development of cortical and subcortical brain structures in childhood and adolescence: a structural MRI study, Dev. Med. Child Neurol, vol.44, pp.4-16, 2002.

A. M. Dale, B. Fischl, and M. I. Sereno, Cortical surface-based analysis. I. Segmentation and surface reconstruction, NeuroImage, vol.9, pp.179-194, 1999.

B. Fischl, M. I. Sereno, and A. M. Dale, Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system, NeuroImage, vol.9, pp.195-207, 1999.

B. Fischl, Automatically parcellating the human cerebral cortex, Cereb. Cortex N. Y. N, issue.14, pp.11-22, 1991.

B. Fischl and A. M. Dale, Measuring the thickness of the human cerebral cortex from magnetic resonance images, Proc. Natl. Acad. Sci. USA 97, pp.11050-11055, 2000.

J. Jovicich, Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data, NeuroImage, vol.30, pp.436-443, 2006.

F. Ségonne, A hybrid approach to the skull stripping problem in MRI, NeuroImage, vol.22, pp.1060-1075, 2004.

A. Leemans, ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data, 2009.

A. Leemans and D. K. Jones, The B-matrix must be rotated when correcting for subject motion in DTI data, Magn. Reson. Med, vol.61, pp.1336-1349, 2009.

D. K. Jones and P. J. Basser, Squashing peanuts and smashing pumpkins': how noise distorts diffusion-weighted MR data, Magn. Reson. Med, vol.52, pp.979-993, 2004.

P. J. Basser, S. Pajevic, C. Pierpaoli, J. Duda, and A. Aldroubi, In vivo fiber tractography using DT-MRI data, Magn. Reson. Med, vol.44, pp.625-632, 2000.

R. P. Wang and V. J. Wedeen, Diffusion Toolkit and TrackVis, Proc. Intl. Soc. Magn. Reson. Med, 2007.

M. Catani, Altered cerebellar feedback projections in Asperger syndrome, NeuroImage, vol.41, pp.1184-1191, 2008.

F. Dell'-acqua, I. Bodi, D. Slater, M. Catani, and M. Modo, MR diffusion histology and micro-tractography reveal mesoscale features of the human cerebellum, Cerebellum Lond. Engl, vol.12, pp.923-931, 2013.

S. Koelsch, B. Maess, T. Grossmann, and A. D. Friederici, Electric brain responses reveal gender differences in music processing, Neuroreport, vol.14, pp.709-713, 2003.

R. Llorente, Early maternal deprivation in rats induces gender-dependent effects on developing hippocampal and cerebellar cells, Int. J. Dev. Neurosci. Off. J. Int. Soc. Dev. Neurosci, vol.27, pp.233-241, 2009.

N. Ramnani, The primate cortico-cerebellar system: anatomy and function, Nat. Rev. Neurosci, vol.7, pp.511-522, 2006.

C. J. Stoodley and J. D. Schmahmann, Functional topography in the human cerebellum: a meta-analysis of neuroimaging studies, NeuroImage, vol.44, pp.489-501, 2009.

M. C. Riedel, Meta-analytic connectivity and behavioral parcellation of the human cerebellum, NeuroImage, vol.117, pp.327-342, 2015.

J. D. Townsend, Frontal-amygdala connectivity alterations during emotion downregulation in bipolar I disorder, Biol. Psychiatry, vol.73, pp.127-135, 2013.

A. E. Cavanna and M. R. Trimble, The precuneus: a review of its functional anatomy and behavioural correlates, Brain, vol.129, pp.564-583, 2006.

H. Platel, J. Baron, B. Desgranges, F. Bernard, and F. Eustache, Semantic and episodic memory of music are subserved by distinct neural networks, NeuroImage, vol.20, pp.244-256, 2003.

E. Bullmore and O. Sporns, Complex brain networks: graph theoretical analysis of structural and functional systems, Nat. Rev. Neurosci, vol.10, pp.186-198, 2009.

R. Wiesendanger and M. Wiesendanger, Cerebello-cortical linkage in the monkey as revealed by transcellular labeling with the lectin wheat germ agglutinin conjugated to the marker horseradish peroxidase, Exp. Brain Res, vol.59, pp.105-117, 1985.

N. H. Bhanpuri, A. M. Okamura, and A. J. Bastian, Predicting and correcting ataxia using a model of cerebellar function, Brain J. Neurol, vol.137, pp.1931-1944, 2014.

F. Du-boisgueheneuc, Functions of the left superior frontal gyrus in humans: a lesion study, Brain J. Neurol, vol.129, pp.3315-3328, 2006.

J. L. Chen, V. B. Penhune, and R. J. Zatorre, Moving on time: brain network for auditory-motor synchronization is modulated by rhythm complexity and musical training, J. Cogn. Neurosci, vol.20, pp.226-239, 2008.

M. Jueptner, Anatomy of motor learning. I. Frontal cortex and attention to action, J. Neurophysiol, vol.77, pp.1313-1324, 1997.

J. A. Bernard, J. M. Orr, and V. A. Mittal, Differential motor and prefrontal cerebello-cortical network development: Evidence from multimodal neuroimaging, NeuroImage, vol.124, pp.591-601, 2016.

V. B. Penhune, R. J. Zattore, and A. C. Evans, Cerebellar contributions to motor timing: a PET study of auditory and visual rhythm reproduction, J. Cogn. Neurosci, vol.10, pp.752-765, 1998.

B. Haslinger, Reduced recruitment of motor association areas during bimanual coordination in concert pianists, Hum. Brain Mapp, vol.22, pp.206-215, 2004.

I. Kostovic and P. Rakic, Developmental history of the transient subplate zone in the visual and somatosensory cortex of the macaque monkey and human brain, J. Comp. Neurol, vol.297, pp.441-470, 1990.

Y. Leitner, K. E. Travis, M. Ben-shachar, K. W. Yeom, and H. M. Feldman, Tract profiles of the cerebellar white matter pathways in children and adolescents, Cerebellum Lond. Engl, vol.14, pp.613-623, 2015.

C. N. Riddle, S. A. Edgley, and S. N. Baker, Direct and indirect connections with upper limb motoneurons from the primate reticulospinal tract, J. Neurosci. Off. J. Soc. Neurosci, vol.29, pp.4993-4999, 2009.

R. Apps and M. Garwicz, Anatomical and physiological foundations of cerebellar information processing, Nat. Rev. Neurosci, vol.6, pp.297-311, 2005.

R. M. Spencer, R. B. Ivry, . Cerebellum, M. Manto, J. D. Schmahmann et al., Handbook of the Cerebellum and Cerebellar Disorders, pp.1201-1219, 2013.

G. Schlaug, The brain of musicians. A model for functional and structural adaptation, Ann. N. Y. Acad. Sci, vol.930, pp.281-299, 2001.